The fundamental concepts of adaptive filters and array signal processing are developed in class. The students understand the relationships between temporal and spatial filters, as well as the principle of high-resolution parameter estimation, and they are able to adapt their knowledge to other scientific disciplines.

The students are able to develop or improve algorithms and to evaluate their performance in an analytical manner or by simulations.

Futhermore, the students are enabled to read and understand current research publications in the areas of adaptive filters and array signal processing and they can use these concepts and results for their own research.

Selection of Topics:

1 Introduction

2 Mathematical Background

3 Adaptive Filters

4 High-Resolution Parameter Estimation

5 Tensor-Based Signal Processing

6 Maximum Likelihood Estimators

Advanced Psychoacoustics

Educational Objectives:

The course will enable students to perform psychoacoustic research and thus enable a deep understanding of current topics in psychoacoustics.